What is she best known for?
The fields of study she is best known for:
- Cancer
- Gene
- Internal medicine
Esther M. John mainly focuses on Breast cancer, Internal medicine, Genome-wide association study, Oncology and Cancer.
Particularly relevant to Estrogen receptor is her body of work in Breast cancer.
She works mostly in the field of Internal medicine, limiting it down to concerns involving Endocrinology and, occasionally, Environmental health.
Her research in Genome-wide association study intersects with topics in Prostate cancer and Genetic association.
She has included themes like Cohort study, Gene mutation, Ovarian cancer, Hazard ratio and Estrogen in her Oncology study.
The Cancer study combines topics in areas such as Odds ratio, Mendelian randomization and Obstetrics.
Her most cited work include:
- Reproductive Factors and Breast Cancer (1187 citations)
- Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers (962 citations)
- Association analysis identifies 65 new breast cancer risk loci (661 citations)
What are the main themes of her work throughout her whole career to date?
Esther M. John spends much of her time researching Breast cancer, Internal medicine, Oncology, Cancer and Genome-wide association study.
Her biological study spans a wide range of topics, including Odds ratio, Single-nucleotide polymorphism, Case-control study and Gynecology.
Her work carried out in the field of Single-nucleotide polymorphism brings together such families of science as Genetic variation and Haplotype.
Her work investigates the relationship between Oncology and topics such as Prospective cohort study that intersect with problems in Cohort study.
Esther M. John has researched Cancer in several fields, including Body mass index and Gerontology.
Esther M. John has included themes like Genetic predisposition, Meta-analysis, Genetic association, Heritability and Imputation in her Genome-wide association study study.
She most often published in these fields:
- Breast cancer (108.17%)
- Internal medicine (64.47%)
- Oncology (56.45%)
What were the highlights of her more recent work (between 2017-2021)?
- Breast cancer (108.17%)
- Internal medicine (64.47%)
- Oncology (56.45%)
In recent papers she was focusing on the following fields of study:
Breast cancer, Internal medicine, Oncology, Genome-wide association study and Single-nucleotide polymorphism are her primary areas of study.
Her research on Breast cancer concerns the broader Cancer.
Her study looks at the relationship between Internal medicine and topics such as Germline mutation, which overlap with Genetic testing.
Her Oncology research focuses on Prostate cancer and how it connects with Genetic risk.
Her Genome-wide association study research is within the category of Genetics.
Esther M. John interconnects Epidemiology of cancer, Genetic variation and Allele in the investigation of issues within Single-nucleotide polymorphism.
Between 2017 and 2021, her most popular works were:
- Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (335 citations)
- Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (331 citations)
- Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (331 citations)
In her most recent research, the most cited papers focused on:
- Cancer
- Gene
- Internal medicine
Her main research concerns Breast cancer, Internal medicine, Oncology, Genome-wide association study and Odds ratio.
Her Breast cancer research is multidisciplinary, incorporating elements of Prospective cohort study, Case-control study, Family history and Confidence interval.
The concepts of her Internal medicine study are interwoven with issues in Germline mutation and Linkage disequilibrium.
Her Oncology research incorporates elements of Genetic predisposition, CHEK2, Meta-analysis, Epidemiology of cancer and Hazard ratio.
Her Genome-wide association study research includes themes of Expression quantitative trait loci, Prostate cancer, Genetic association and Medical genetics.
Her Odds ratio study combines topics in areas such as Logistic regression, Epidemiology and Genetic variation.
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